- Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen 0001, Vicente Grau. AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction. Medical Image Analysis, 109:103951, 2026.
- Jiaju Huang, Xiao Yang, Xinglong Liang, Shaobin Chen, Yue Sun 0001, Greta Sp Mok, Shuo Li 0001, Ying Wang, Tao Tan 0002. Anatomy-guided prompting with cross-modal self-alignment for whole-body PET-CT breast cancer segmentation. Medical Image Analysis, 110:103956, 2026.
- Yicheng Gao, Jinkui Hao, Bo Zhou 0009. FairREAD: Re-fusing demographic attributes after disentanglement for fair medical image classification. Medical Image Analysis, 107:103858, 2026.
- Gabriele Lozupone, Alessandro Bria, Francesco Fontanella, Frederick J. A. Meijer, Claudio De Stefano, Henkjan Huisman. Latent diffusion autoencoders: Toward efficient and meaningful unsupervised representation learning in medical imaging - a case study on Alzheimer's disease. Medical Image Analysis, 109:103932, 2026.
- Christian Wachinger, Dennis M. Hedderich, Melissa Thalhammer, Fabian Bongratz. Individualized mapping of aberrant cortical thickness via stochastic cortical self-reconstruction. Medical Image Analysis, 107:103788, 2026.
- Duwei Dai, Caixia Dong, Haolin Huang, Fan Liu, Zongfang Li, Songhua Xu. Improving the performance of medical image segmentation with instructive feature learning. Medical Image Analysis, 107:103818, 2026.
- Xuan Xu, Saarthak Kapse, Prateek Prasanna. SuperDiff: A diffusion super-resolution method for digital pathology with comprehensive quality assessment. Medical Image Analysis, 107:103808, 2026.
- Jiejiang Yu, Yu Liu 0023. DPFR: Semi-supervised gland segmentation via density perturbation and feature recalibration. Medical Image Analysis, 110:103962, 2026.
- Kai Gao 0011, Lubin Wang, Liang Li 0006, Xiao Chen, Bin Lu, Yu-Wei Wang, Xue-Ying Li, Zi-Han Wang, Hui-Xian Li, Yi-Fan Liao, Li-Ping Cao, Guan-Mao Chen, Jian-Shan Chen, Tao Chen, Tao-Lin Chen, Yan-Rong Chen, Yu-Qi Cheng, Zhao-Song Chu, Shi-Xian Cui, Xi-Long Cui, Zhao-Yu Deng, Qing-Lin Gao, Qi-Yong Gong, Wen-Bin Guo, Can-Can He, Zheng-Jia-Yi Hu, Qian Huang, Xin-Lei Ji, Feng-Nan Jia, Li Kuang, Bao-Juan Li, Feng Li, Tao Li, Xue Li, Tao Lian, Xiao-Yun Liu, Yan Song Liu, Zhe-Ning Liu, Yi-Cheng Long, Jian Ping Lu, Jiang Qiu, Xiao-Xiao Shan, Tian-Mei Si, Peng-Feng Sun, Chuan-Yue Wang, Han-Lin Wang, Xiang Wang, Ying Wang 0007, Chen-Nan Wu, Xiao-Ping Wu, Xin-Ran Wu, Yan-kun Wu, Chun-Ming Xie, Guang-Rong Xie, Peng Xie, Xiu-feng Xu, Zhen-Peng Xue, Hong Yang, Jian Yang 0003, Hua Yu, Yong-qiang Yu, Min-Lan Yuan, Yong-Gui Yuan, Ai-Xia Zhang, Ke-Rang Zhang, Wei Zhang 0090, Zi-Jing Zhang, Jing-Ping Zhao, Jia-Jia Zhu, Xi-Nian Zuo, Hua-Ning Wang, Chao-Gan Yan, Yufeng Zang, Dewen Hu. Transfer learning from 2D natural images to 4D fMRI brain images via geometric mapping. Medical Image Analysis, 110:103949, 2026.
- Pujin Cheng, Yijin Huang, Li Lin 0006, Junyan Lyu, Kenneth Kin-Yip Wong, Xiaoying Tang 0001. MIRAGE: Medical image-text pre-training for robustness against noisy environments. Medical Image Analysis, 109:103912, 2026.